On-Line State Estimation of Maneuvering Objects by Sequential Monte Carlo Algorithm
LSSC '01 Proceedings of the Third International Conference on Large-Scale Scientific Computing-Revised Papers
Multidimensional Visual Representations for Underwater Environmental Uncertainty
IEEE Computer Graphics and Applications
Sensor management using an active sensing approach
Signal Processing
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decentralized Bayesian algorithms for active sensor networks
Information Fusion
Rao-Blackwellized particle filter for multiple target tracking
Information Fusion
MEBN: A language for first-order Bayesian knowledge bases
Artificial Intelligence
ML-PDA: Advances and a new multitarget approach
EURASIP Journal on Advances in Signal Processing
A comparison of detection performance for several track-before-detect algorithms
EURASIP Journal on Advances in Signal Processing
Using robust audio and video processing technologies to alleviate the elderly cognitive decline
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
A novel fast Kolmogorov's spline complex network for pattern detection
WSEAS TRANSACTIONS on SYSTEMS
A novel fast Kolmogorov's spline complex network for pattern detection
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
Signal Processing Techniques for Robust Speech Recognition
IEICE - Transactions on Information and Systems
A POMDP framework for coordinated guidance of autonomous UAVs for multitarget tracking
EURASIP Journal on Advances in Signal Processing - Special issue on signal processing advances in robots and autonomy
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Distributed Computation of Likelihood Maps for Target Tracking
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Identifying people in camera networks using wearable accelerometers
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Structure inference for Bayesian multisensory perception and tracking
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Tracking intermittently speaking multiple speakers using a particle filter
EURASIP Journal on Audio, Speech, and Music Processing
Obstacle detection and tracking for the urban challenge
IEEE Transactions on Intelligent Transportation Systems
Tracking a varying number of sound sources using particle filtering
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Interactive surfaces for enhanced cognitive care
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Multiple hypothesis tracking using clustered measurements
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
PDF target detection and tracking
Signal Processing
Data association and occlusion handling for vision-based people tracking by mobile robots
Robotics and Autonomous Systems
Decentralised ground target tracking with heterogeneous sensing nodes on multiple UAVs
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Estimation track-before-detect motion capture systems state space spatial component
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A MIMO radar system approach to target tracking
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Target tracking via a sampling stack-based approach
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Tasking networked CCTV cameras and mobile phones to identify and localize multiple people
Proceedings of the 12th ACM international conference on Ubiquitous computing
An introduction to Bayesian techniques for sensor networks
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Multisensor information management by methods of probability and fuzzy logic
Automatic Documentation and Mathematical Linguistics
Robotics and Autonomous Systems
Multi-sensor track-before-detect for complementary sensors
Digital Signal Processing
Hypothesis management in situation-specific network construction
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Multisensor data fusion: A review of the state-of-the-art
Information Fusion
International Journal of Ambient Computing and Intelligence
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From the Publisher:Get the solutions to your most challenging tracking problems with this up-to-date resource. Using the Bayesian inference framework, the book helps you design and develop mathematically sound algorithms for dealing with tracking problems involving multiple targets, multiple sensors, and multiple platforms. The book shows you how non-linear Multiple Hypothesis Tracking and the Theory of Unified Tracking are successful methods when multiple target tracking must be performed without contacts or association. With detailed examples illustrating the developed concepts, algorithms, and approaches the book helps you: Track when observations are non-linear functions of target site, when the target state distributions or measurement error distributions are not Gaussian, in low data rate and low signal to noise ratio situations, and when notions of contact and association are merged or unresolved among more than one target Detect and track when a single sensor response is not strong enough to call a contact Determine bounds on tracker performance from the characteristics of the targets and sensors Set optimal threshold levels for calling contacts in likelihood ratio detection and tracking, and compute association probabilities of joint observations and non-geometric information